Senior Applied AI Researcher, Digital Biology
Salary not listed • Israel, Tel Aviv • Full-time
Posted 18d ago
Job Location
Israel, Tel Aviv
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
NVIDIA Israel is seeking innovative and driven Applied Researchers in deep learning to join a groundbreaking initiative at the intersection of AI and biology. This role offers the opportunity to develop foundational and generative AI models, as well as agentic AI systems, to redefine our understanding of complex biological systems and enable advanced diagnostics and novel scientific insights. The team focuses on applied research, with an emphasis on publishing work and sharing code as open source, contributing to NVIDIA's Health Platform ecosystem.
Responsibilities
- Conceptualize, design, and implement novel deep learning architectures for biological data, focusing on large-scale models like LLMs, Transformers, and State Space Models.
- Develop multimodal learning systems integrating heterogeneous data types for improved representation and prediction.
- Develop foundational and generative models and agentic AI systems, including multi-step reasoning and tool use.
- Develop digital twin systems for healthcare, combining mechanistic models, physiological data, and AI.
- Implement deep learning systems integrated with agents for end-to-end workflows.
- Evaluate model performance, analyze results, and iterate on designs.
- Apply knowledge of distributed training to build high-quality code for training, optimizing, and deploying large-scale models.
- Collaborate with researchers, bioinformaticians, and domain experts in an interdisciplinary environment.
Requirements
- PhD in Machine Learning, Computer Science, Engineering, or a related discipline.
- 8+ years of hands-on experience in developing, training, and deploying deep learning models at scale, including LLMs, Transformers, SSMs, and/or generative models.
- Experience with multimodal learning and integrating diverse data modalities.
- Experience with agentic AI frameworks or systems is a strong advantage.
- Strong expertise in distributed training, optimization, and inference.
- Proven ability to lead independent research, implement robust solutions, and rigorously evaluate performance.
- Track record of publications and presentations at top conferences.
- Strong programming skills in Python and C++.
- Experience with PyTorch and/or CUDA.
- Excellent communication skills and ability to thrive in a dynamic, research-driven team.